{"id":"W2351184226","doi":"10.1177/1557988316630538","title":"No Man Left Behind: Effectively Engaging Male Military Veterans in Counseling","year":2016,"lang":"en","type":"article","venue":"American Journal of Men s Health","topic":"Gender Roles and Identity Studies","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Psychology; Ideology; Social psychology; Psychotherapist; Political science; Politics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003832857,0.0004636048,0.0002849324,0.0004511969,0.009132798,0.00353926,0.001093504,0.001265112,0.005585289],"category_scores_gemma":[0.008256416,0.0003455537,0.0002158216,0.0002836699,0.003210561,0.001852045,0.004243138,0.001867458,0.000859561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001526482,"about_ca_system_score_gemma":0.005456769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004382378,"about_ca_topic_score_gemma":0.01960863,"domain_scores_codex":[0.9962759,0.002427492,0.00005101063,0.0001391087,0.000316629,0.0007897935],"domain_scores_gemma":[0.997542,0.0007669645,0.0002804156,0.00008726159,0.0001187576,0.001204627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003047847,0.002290984,0.04736339,0.0003797944,0.00004622988,0.002347107,0.6461862,0.000237627,0.004151106,0.01039124,0.01956956,0.266732],"study_design_scores_gemma":[0.00005469925,0.00129594,0.0203923,0.0004836749,0.0000568273,0.001725149,0.8998435,0.0007134803,0.001550201,0.003787487,0.07004938,0.00004739531],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9569899,0.00140951,0.002544447,0.01298454,0.0004152287,0.0002461181,0.00002550652,0.0001466408,0.0252382],"genre_scores_gemma":[0.9881368,0.001000334,0.00256842,0.002082002,0.00008298794,0.00009455871,0.00002171607,0.00002193392,0.005991246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009132798,"threshold_uncertainty_score":0.02027035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01541819238319215,"score_gpt":0.3193875027290267,"score_spread":0.3039693103458345,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}